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[Key technology of brain-computer interaction based on speech imagery].
Yanpeng Liu1,2, Anmin Gong3, Peng Ding1,2
1School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Summary
Speech imagery, a brain-computer interface (BCI) method, leverages brain activity during imagined speech. This review analyzes its neural basis, methods, and challenges for future development.
Area of Science:
- Neuroscience
- Cognitive Science
- Human-Computer Interaction
Background:
- Speech expression is a high-level cognitive function linked to brain activity.
- Both actual and imagined speech activate similar neural pathways.
- Speech imagery offers a novel paradigm for brain-computer interfaces (BCIs).
Purpose of the Study:
- To elucidate the neural mechanisms underlying speech imagery.
- To systematically review existing research on speech imagery-based BCIs.
- To identify challenges and future directions in this field.
Main Methods:
- Review of neural mechanisms of speech imagery.
- Analysis of experimental paradigms and materials in speech imagery BCIs.
- Systematic review of data processing techniques for speech imagery BCI.
Main Results:
- Speech imagery BCIs offer advantages like spontaneous generation and no subject training.
- Current research highlights challenges in experimental design and material selection.
- Analysis reveals key issues and limitations in current speech imagery BCI technology.
Conclusions:
- Speech imagery BCIs hold significant potential for human-computer interaction.
- Further research is needed to mature experimental paradigms and material selection.
- Addressing current challenges will unlock future applications of speech imagery BCI systems.
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